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Wiktor Młynarski: Statistical Models of Binaural Sounds

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Wiktor Młynarski: Statistical Models of Binaural Sounds


Published April 17, 2013


Talk by Wiktor Młynarski, of the Max Planck Institute for Mathematics in the Sciences. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley.

Abstract
The auditory system exploits disparities in the sounds arriving at the left and right ear to extract information about the spatial configuration of sound sources. According to the widely acknowledged Duplex Theory, sounds of low frequency are localized based on Interaural Time Differences (ITDs) and localization of high frequency sources relies on Interaural Level Differences (ILDs). Natural sounds, however, possess a rich structure and contain multiple frequency components. This leads to the question: what are the contributions of different cues to sound position identification in the natural environment and how much information do they carry about its spatial structure? In this talk, I will present my attempts to answer the above questions using statistical, generative models of naturalistic (simulated) and fully natural binaural sounds.


Audio/Visual sound, color

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